<div class="after-article">
    <div>
        <h2 style="text-align: center;">Top posts at "brilliantly wrong": <small>(<a href="https://arogozhnikov.github.io">all posts</a>)</small></h2>
        <div class='visualizations-list'>
            <div>
                <a href="{% post_url 2016-07-05-gradient_boosting_playground %}">
                <img src="/images/mini/mini_gb_playground.png" alt="">
                Gradient boosting <br />playground
                </a>
            </div>
            <div>
                <a href="{% post_url 2016-12-19-markov_chain_monte_carlo %}">
                <img src="/images/mini/mini_hmc_explained.png" alt="">
                Hamiltonian MC <br/>explained
                </a>
            </div>
            <div>
                <a href="{% post_url 2016-06-24-gradient_boosting_explained %}">
                <img src="/images/mini/mini_gb_explained.png" alt="">
                Gradient boosting <br />explained
                </a>
            </div>
            <div>
                <a href="{% post_url 2016-02-09-DrawingPictureWithML %}">
                <img src="/images/mini/mini_reconstructing.png" alt="">
                Reconstructing pictures <br/> with ML
                </a>
            </div>
            <div>
                <a href="//arogozhnikov.github.io/3d_nn">
                <img src="/images/mini/mini_3d_nn.png" alt="">
                Neural Networks <br/> 
                visualized in 3d
                </a>
            </div>
        </div>
    </div>
    <div class="recommended-links">
        <ul>
            <li>
                <a href="{% post_url 2016-09-10-jupyter-features %}"> Jupyter (IPython) notebooks features </a>
            </li>
            <li>
                Numpy tips and tricks:
                <a href="{% post_url 2015-09-29-NumpyTipsAndTricks1 %}">
                        part 1</a>,
                <a href="{% post_url 2015-09-30-NumpyTipsAndTricks2 %}">
                        part 2
                    </a>
            </li>
            <li>
                <a href="{% post_url 2015-10-09-gradient-boosted-reweighter %}">
                        Reweighting with Boosted Decision Trees
                    </a>
            </li>
            <li>
                <a href="{% post_url 2017-04-20-machine-learning-in-science-and-industry %}">Machine Learning in Science and Industry</a>
            </li>
        </ul>
        <ul>
            <li>
                <a href="{% post_url 2015-09-08-SpeedBenchmarks %}">
                        Speed benchmarks: numpy vs all.
                    </a>
            </li>
            <li>
                Machine learning in COMET:
                <a href="{% post_url 2015-06-22-machine-learning-used-in-tracking-of %}">
                        part 1</a>,
                <a href="{% post_url 2015-07-05-machine-learning-in-comet-experiment %}">
                        part 2
                    </a>
            </li>
            <li><a href="{% post_url 2015-10-05-roc-curve %}">ROC curve explained</a>
            </li>
            <li>
                <a href="{% post_url 2015-12-19-optimal-control-of-oscillations %}">Optimal control of oscillations</a>
            </li>

        </ul>
    </div>
</div>